marimo-guide

Create a reactive Python notebook by defining an App object, adding @app.cell functions that return marimo UI widgets, and running it as a web app with marimo run. This cell-based model automatically manages reactive execution dependencies.

Yes, you can write SQL cells directly in a marimo notebook to query connected databases. The SQL query results integrate seamlessly into interactive dashboards and can be filtered using marimo UI widgets.

Converting a Jupyter notebook into a deployable web app involves defining an App object with @app.cell functions and running it with marimo run. You can also deploy the resulting application using Docker.

Marimo uses a cell-based reactive execution model that automatically tracks dependencies between cells. Following best practices for cell design helps avoid common pitfalls like mutation and circular dependencies during notebook authoring.

Yes, marimo provides mo.ui widgets and layout primitives for building interactive data dashboards. You can implement forms, tables, and visualizations, then use UI controls to filter datasets and visualize results with Plotly.

Marimo notebooks can be deployed as web apps using Docker containers. The framework provides deployment guidance including authentication options, debugging strategies, and caching mechanisms for production environments.